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Leading the future: innovation and application of cloud native in products, architecture and business models

Leading the future: innovation and application of cloud native in products, architecture and business models​

Article directory​

  • 1. Cloud native product innovation
  • 2. Cloud native architecture design
  • 3. Changes in cloud-native business models
  • "Cloud Native Implementation Products, Architecture and Business Model"
    • Suitable for reading crowd
  • Editor's Choice
  • brief introduction
  • Table of contents

With the continuous development of cloud computing technology , [cloud native](/search?q=cloud native) has become an important direction for enterprise digital transformation. Next, we will discuss the practical path of cloud native implementation from three aspects: product, architecture and business model, to help enterprises better cope with the challenges of digital transformation and achieve rapid business development. CSDN program boundaries

1. Cloud native product innovation​

Containerized deployment: Through container technologies such as Docker, rapid deployment of applications, automated operation and maintenance, and improved resource utilization and management efficiency are achieved.
CSDN program boundary
microservice architecture: split a complex single application into multiple independent microservices, reduce the coupling between modules, and improve the scalability and maintainability of the system.

Continuous integration and continuous delivery (CI/CD): achieve rapid iteration and high-quality delivery through automated build, test, and deployment processes.

DevOps culture: Break the boundaries between development and operation and maintenance, achieve team collaboration and rapid feedback, and improve the agility and competitiveness of the enterprise.

2. Cloud native architecture design​

Cloud-based infrastructure: Use cloud computing platform as the underlying infrastructure to achieve elastic scaling, high availability and disaster recovery capabilities.
CSDN program boundary
Service-oriented architecture (SOA): Through service-oriented approach, decoupling and standardized interfaces between systems are achieved, and the complexity of system integration is reduced.

API gateway: As the entrance to the system, it implements functions such as flow control, security protection and service management, and improves the robustness and stability of the system.

Distributed storage and computing: Utilize technologies such as distributed databases and distributed file systems to achieve high availability and high-performance access to data.

3. Changes in cloud-native business models​

Customer-centric: Pay attention to customer needs, provide personalized and differentiated products and services, and maximize customer value.
CSDN program boundary
Data-driven decision-making: Through the analysis and mining of massive data, it provides strong support for corporate decision-making and improves decision-making efficiency and accuracy.

Platform operation: Build an open platform ecosystem, integrate various resources, and achieve coordinated development of the industry chain.

Innovation-driven development: Continuously explore new technologies and new models, promote continuous innovation of enterprises, and seize market opportunities.

In short, cloud native, as an emerging technical concept and practice method, is profoundly affecting the product development, architecture design and business model of enterprises. Enterprises should actively embrace cloud native, accelerate the pace of digital transformation, and achieve rapid business growth and sustainable development.

"Cloud Native Implementation Products, Architecture and Business Model"​

Leading the future: innovation and application of cloud native in products, architecture and business models

Suitable for reading crowd​

This book is mainly suitable for the following readers:

  1. application architect
  2. Cloud native platform architect
  3. Technical product planner or designer
  4. Enterprise technical decision-makers, such as CTO

Editor's Choice​

  • Many experts in cloud native product planning and architecture jointly recommended it.
  • Senior cloud computing and product experts highly summarize more than ten years of insights and implementation experience from the perspective of CIO/CTO, saving tens of millions of capital.
  • From the five dimensions of customer analysis, market analysis, business model, product and technical architecture, we thoroughly analyze the full life cycle solutions for enterprises to implement cloud native, and solve the urgent needs of the industry.
  • Automating infrastructure + activating business innovation + reducing costs and increasing efficiency = digital transformation of enterprises, helping enterprises to develop strategically.

brief introduction​

The book is divided into 4 parts and 15 chapters:

Part One, Ecological Analysis (3 Chapters): Chapter 1 starts with the origin and history of cloud native, and dispels some conceptual misunderstandings about the nature of cloud native. Chapter 2 focuses on the current market status, development and development of cloud native. Related topics enable readers to have an understanding of the market value and scale of cloud native. Chapter 3 focuses on the conditions for implementing cloud native, as well as related general remarks, giving a panoramic understanding of the implementation, products and technology of cloud native, and At the same time, it also provides a standard judgment on what is a mature cloud native platform , providing guidance for subsequent chapters. The second part
of the CSDN program boundary
, "Implementation of Cloud Native" (Chapter 7), based on the general introduction of Part 1, discusses the cloud native platform products and technical architecture, involving container base, observability, PaaS, devops, Cloud native middleware and automated delivery, etc., starting from market demand analysis, product planning and design to technical architecture, comprehensively introduce the construction of cloud native platform.

The third part, "Business Model" (Chapter 3), starts with the value proposition of cloud native and comprehensively explains the changes in different cloud delivery forms of cloud native, as well as the corresponding service sales models and pricing methods.

The fourth part, "Case Analysis" (Chapter 2), based on the content introduced earlier, explains the implementation practice from two customer perspectives, one from the perspective of the platform provider, and the other from the perspective of the business enterprise, which is a reference to the content of the above chapter. The summary and application of the book strive to start from practice and explain the steps, problems and solutions of implementation from the dimensions of organizational upgrade, business upgrade, technical architecture upgrade, etc., to provide readers with a reference for implementation practice.

Table of contents​

 
    Preface
    Part I. Origins, Evolution and Business Models
    Chapter 1 Born for the Cloud 2
    1.1 What is Cloud Native 2
    1.2 History of Cloud Native and its Principles 5
    1.3 Who are Cloud Native Customers 7
    1.4 Who are Cloud Native Users 12
    1.5 Impact of Cloud Native on the Organization 18
    1.6 Summary of the Chapter 19
    Chapter 2 The Cloud Native Ecosystem 20
    2.1 What the Cloud Needs for Cloud Native 20
    2.1.1 What Cloud Computing Really Is 20
    2.1.2 Current State of the Cloud Computing Platform Market and Offerings 21
    2.1.3 Defects of Traditional Cloud Computing Platforms 22
    2.1.4 Cloud Computing and Cloud Native 23
    2.2 What Enterprises Need for Cloud Native 24
    2.2.1 What is Enterprise Digital Reform Really Saying?
    What 24
    2.2.2 Digitalization Requirements and Cloud Native Product Architecture 27
    2.3 Cloud Native Market and Ecosystem Analysis 30
    2.3.1 Domestic Cloud Native Market and Ecology 30
    2.3.2 Foreign Cloud Native Market and Ecology 32
    2.4 Boundaries and Limitations of Cloud Native 33
    2.5 Summary of the Chapter 33
    Chapter 3 Cloud Native Blueprint 34
    3.1 Cloud Native Implementation Conditions 34
    3.1.1 Organizational Upgrade 34
    3.1.2 Market Insight Methodology Upgrade 35
    3.1.3 Product Planning and Design Upgrade 36
    36 3.1.4 Technical Architecture and Capabilities Upgrade 36
    3.2 General Introduction to Cloud Native Products 36
    3.2.1 Key Differences between Cloud Native Products and Traditional IT Products 37
    3.2.1 Key Differences between Cloud Native Products and Traditional IT Products 37
    3.2.2 General idea of cloud-native product design 37
    3.3 General Introduction to Cloud Native Technology 38
    3.3.1 Convergence and Upgrading of Traditional Technologies under Cloud Native Conditions 38
    Convergence and Upgrading of Traditional Technologies under Cloud Native Conditions 38
    3.3.2 The Connection and Difference between Cloud Native Technology and Cloud Technology 38
    3.3.3 The Five Principles of Cloud Native Technology Design 39
    3.4 Cloud Native Maturity Model 40
    3.4.1 Economic Environment Level 41
    3.4.2 Enterprise Strategy Level 41
    3.4.3 Enterprise Business Development Level 42
    3.4.4 Enterprise Organizational Capability Level 43
    3.4.5 Cloud Native Technology Architecture Level 44
    3.4.6 Comprehensive Maturity Model 45
    3.5 Summary of this Chapter 46
    part ii cloud-native organization and market insights
    Chapter 4 Organizational Capacity Building 48
    4.1 Organizational Design of Cloud Native Teams 48
    4.1.1 Why Organizational Upgrade is a Required Condition for Cloud Native
    Implementation Requirements 49
    4.1.2 Pros and Cons of Various Organizational Structures 51
    4.1.3 New Cloud Native Organizational Structures 53
    4.2 Implementation of Cloud Native Organization Design 54
    4.2.1 Conditions for Optimizing Your Own Organizational Upgrades 54
    4.2.2 Considerations for Implementation 55
    4.3 Growth Principles for Cloud-Native Organizations 56
    4.4 Summary of the Chapter 57
    Chapter 5 Market Insights 58
    5.1 Designing and Building the Ecology 58
    5.2 Market Insights as a Cloud Platform Vendor 59
    5.2.1 Short-term Look at Demand, Long-term Look at Supply 59
    59 5.2.2 Gather Data, Analyze Trends, and Follow Them
    and act accordingly 60
    5.2.3 The Game of Generic and Differentiation 61
    5.3 Demand Insights as a Business Enterprise 62
    5.4 Finding Competitiveness in the Thorn Bush 62
    5.4.1 How to Do the Necessary Competitor Analysis 62
    5.4.2 HR Planning Expectations and Pacing Expectations 63
    5.5 Summary of this Chapter 64
    Part III Cloud Native Base Landing
    Chapter 6 Runtime Environment 66
    6.1 Designing the Base Operating Environment 67
    6.1.1 Node Selection 68
    68 6.1.2 Operating system planning 68
    6.1.3 Linux Performance Optimization and Stability Optimization 70
    6.1.4 Kubernetes-oriented performance optimization and
    Stability Optimization for Kubernetes 74
    6.1.5 High Availability Scenarios 76
    6.2 Cloud Native Operations Agent Platform 80
    6.3 Summary of this Chapter 100
    Chapter 7 Multi-Cluster Architecture 101
    7.1 Classic Multi-Cluster Architecture 102
    7.1.1 Kubernetes Federation v1 Multi-Cluster Architecture 102
    Multi-Cluster Architecture 102
    7.1.2 Kubernetes Federation v2 Multi-Cluster Architecture 103
    Architecture 103
    7.1.3 Karmada Multi-Cluster Architecture 105
    7.2 Reflections on a New Multi-Cluster Architecture 110
    7.3 Summary of the Chapter 111
    Chapter 8 Heterogeneous Networking 113
    8.1 Classic Cloud-Native Networking Solutions 114
    8.1.1 Control Plane Interconnect Solution 115
    8.1.2 Business Link Network Interconnection Scheme 123
    8.2 The Critical Next Step: the IBN 165
    8.2.1 IBN Overview 165
    8.2.2 IBN Automation Network Solutions 166
    8.2.3 AOT Design Modeling Phase 174
    8.2.4 AOT Deployment Implementation Phase 183
    8.2.5 AOT Operational Governance Phase 184
    8.3 Summary of the Chapter 186
    Chapter 9 Unified Dispatch 189
    9.1 Requirements Analysis for Unified Scheduling 189
    9.1.1 Problems with Ordinary Cluster Dispatch
    and the demands of enterprises 189
    9.1.2 Analysis of the responsibilities of 5 types of schedulers 192
    9.2 Technical Architecture Solution for Unified Scheduling 193
    9.2.1 Implementation of cluster scheduling 195
    9.2.2 Implementation of standalone scheduling 197
    9.2.3 Implementation of Global Orchestration Scheduling 206
    9.2.4 Multi-tier scheduling implementation 207
    9.3 Summary of the chapter 210
    Chapter 10 Unitization 211
    10.1 Nature of Cloud-Native Unitization 213
    10.2 Cloud-Native Unitization Transformation 220
    10.2.1 Unified Multi-Tier Scheduling for Unitization
    Modification 222
    10.2.2 Modularization of Cloud-Native Network Architecture 224
    Modification 224
    10.2.3 Unitization of Traffic Routing Capabilities 225
    Modification 225
    10.2.4 Unitization of Cloud-Native Middleware
    Retrofit 227
    10.2.5 Cloud-Native Unitized Multi-Live Architecture 232
    10.2.6 Cloud-Native Unitized Elastic Architecture 245
    10.3 Cloud Native Multi-Live Pressure Testing and Drill System 248
    10.3.1 Swimming Path Isolation for On-Line Environments
    Technology 249
    
    10.3.2 Building a Cloud Native Pressure Testing and Rehearsal
    
    Platform 255
    
    10.4 Cloud Native Application Automation 269
    
    10.5 Summary of this Chapter 276
    
    Part IV. Getting the Cloud Native Application Platform Off the Ground
    
    Chapter 11 Cloud Native Application Architecture Governance
    
    Platform 278
    
    11.1 Application Runtime Enhancements 279
    
    11.2 Application Governance 283
    
    11.2.1 Application Management Issues for the Governance Platform
    
    Inventory 283
    
    11.2.2 Cloud-Native Transformation of Monolithic Applications 283
    
    11.2.3 Cloud-Native Transformation of Microservices 286
    
    11.2.4 Cloud-Native Transformation of Big Data Engines 281
    
    Transformation 291
    
    291 11.2.5 Container-based Edge
    
    Computing Based on Container Technology 292
    
    11.3 Application Observability and Service Governance 302
    
    11.3.1 Construction Phases of a Cloud-Native Observability Platform 302
    
    Construction Phase 302
    
    11.3.2 Building a Unified Observability Platform for Applications 305
    
    Observability Platform for Applications 305
    
    11.3.3 Building an Intelligent Governance Solution 307
    
    11.4 Summary of the Chapter 310
    
    Chapter 12 Cloud-Native DevOps Development Center 312
    
    12.1 Code Branch Hosting 317
    
    12.2 Broad CI/CD for On-Demand
    
    Pipeline 320
    
    12.3 Cloud Native Automated Delivery 327
    
    12.4 Summary of the Chapter 333
    
    Chapter 13 Cloud-Native Application Enablement 334
    
    13.1 Technical Solutions for Cloud-Native Middleware 334
    
    13.1.1 Cloud-Native Messaging Middleware Solution
    
    Solution 335
    
    13.1.2 Cloud-Native Database Solution 344
    
    13.1.3 Cloud-Native Big Data and AI Solutions 347
    
    Solution 347
    
    13.1.4 Cloud-Native Distributed Caching Solution
    
    Solution 350
    
    13.1.5 Cloud-Native Storage Engine Solution
    
    Solution 353
    
    13.2 Cloud-Native Middleware Ideas on the Ground
    
    Guide 357
    
    13.3 Summary of this Chapter 358